## here() starts at C:/Users/laura/OneDrive/Documenti/LAURA/MCC/futurelab_ceres/patent_data_project
Most recent modeling choice
- Sample: removed Singapore, Taiwan AND BRAZIL after
thorough analysis of zeros. We now have a total of 16 zeros across the
whole sample, distributed in the following countries: FIN 3, IND 3, NOR
3, BEL 2, CHN 2, AUT 1, DNK 1, ISR 1. The technology with most zeros is
wind with 12 zeros.
- Main: base / ihs count / 0.01 for all the
technologies (so no brown patents control, no linear country
trends)
Models comparison
- Technology classes: climate change mitigation technologies, energy,
solar, wind, energy storage
- Y transformations: IHS
- Controls: gdp, pop
- AR term = 1
- IIS=ON
- p-val = 0.01
- Sample: N=22 (-SGP,TWN, BRA)
- Time series: 2000-2019
Ccmt
Main
Ihs Count Ccmt
top_main
Formula: ihs_count_ccmt~ lgdp + lpop
top_main (2000:2019); p.value: 0.01; AR: 1
Date: Mon Apr 29 11:38:34 2024
Dependent var.: y
Method: Ordinary Least Squares (OLS)
Variance-Covariance: Ordinary
No. of observations (mean eq.): 418
Sample: 1 to 418
SPECIFIC mean equation:
coef std.error t-stat p-value
ar1 0.689522 0.026062 26.4567 < 2.2e-16 ***
lgdp 0.364785 0.067601 5.3962 1.243e-07 ***
lpop -0.075967 0.207001 -0.3670 0.7138447
idAUT 0.351183 0.184347 1.9050 0.0575819 .
idBEL 0.129569 0.136561 0.9488 0.3433643
idCAN 0.065738 0.113892 0.5772 0.5641674
idCHE 0.075519 0.193497 0.3903 0.6965587
idCHN -0.507877 0.820246 -0.6192 0.5361949
idDEU 0.521161 0.285142 1.8277 0.0684251 .
idDNK -0.484010 0.285716 -1.6940 0.0911325 .
idESP 0.000258 0.179481 0.0014 0.9988539
idFIN 0.343322 0.266451 1.2885 0.1984055
idFRA 0.287237 0.239458 1.1995 0.2311163
idGBR 0.243130 0.235687 1.0316 0.3029668
idIND -1.220283 0.804713 -1.5164 0.1302983
idISR -0.169908 0.205404 -0.8272 0.4086822
idITA 0.052764 0.222720 0.2369 0.8128655
idJPN -1.097677 0.415870 -2.6395 0.0086676 **
idKOR -1.781821 0.408444 -4.3625 1.685e-05 ***
idNLD 0.235691 0.077753 3.0313 0.0026131 **
idNOR -0.780209 0.330796 -2.3586 0.0188832 *
idRUS -1.709990 0.417246 -4.0983 5.156e-05 ***
idSWE -0.531165 0.199283 -2.6654 0.0080395 **
idUSA 0.196560 0.528667 0.3718 0.7102595
time2001 -7.006061 3.323441 -2.1081 0.0357211 *
time2002 -7.031631 3.323908 -2.1155 0.0350819 *
time2003 -6.965776 3.325734 -2.0945 0.0369193 *
time2004 -6.964888 3.326534 -2.0937 0.0369884 *
time2005 -6.911435 3.325621 -2.0782 0.0384014 *
time2006 -6.853845 3.326877 -2.0601 0.0401091 *
time2007 -6.826309 3.328137 -2.0511 0.0409876 *
time2008 -6.815972 3.328717 -2.0476 0.0413279 *
time2009 -6.765412 3.329088 -2.0322 0.0428721 *
time2010 -6.730193 3.329781 -2.0212 0.0440037 *
time2011 -6.755106 3.330483 -2.0283 0.0432752 *
time2012 -6.801387 3.331469 -2.0416 0.0419302 *
time2013 -6.882147 3.332588 -2.0651 0.0396345 *
time2014 -6.858631 3.335037 -2.0565 0.0404570 *
time2015 -6.895790 3.336831 -2.0666 0.0394955 *
time2016 -6.858426 3.338400 -2.0544 0.0406640 *
time2017 -6.858232 3.339711 -2.0535 0.0407483 *
time2018 -6.853239 3.339860 -2.0520 0.0409031 *
time2019 -6.942800 3.340931 -2.0781 0.0384139 *
iis140 0.372638 0.098228 3.7936 0.0001743 ***
iis154 -0.441058 0.096825 -4.5552 7.193e-06 ***
iis229 -0.384163 0.098252 -3.9100 0.0001105 ***
iis250 -0.382674 0.097906 -3.9086 0.0001111 ***
iis251 0.363147 0.097788 3.7136 0.0002370 ***
iis254 0.314713 0.096944 3.2463 0.0012796 **
iis260 -0.364564 0.096813 -3.7656 0.0001942 ***
iis366 0.344711 0.096277 3.5804 0.0003905 ***
iis368 -0.261371 0.096231 -2.7161 0.0069275 **
iis376 -0.382386 0.096154 -3.9768 8.457e-05 ***
fesisAUS.2005 -0.265679 0.057251 -4.6406 4.886e-06 ***
fesisCHN.2015 0.239216 0.059317 4.0328 6.741e-05 ***
fesisDNK.2005 0.406408 0.104186 3.9008 0.0001146 ***
fesisDNK.2006 -0.486464 0.131942 -3.6870 0.0002622 ***
fesisDNK.2007 0.305298 0.097645 3.1266 0.0019134 **
fesisISR.2018 -0.277315 0.074258 -3.7345 0.0002189 ***
fesisNOR.2010 -0.218796 0.052598 -4.1598 3.994e-05 ***
fesisNOR.2015 0.210479 0.059174 3.5569 0.0004258 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Diagnostics and fit:
Chi-sq df p-value
Ljung-Box AR(1) 3.3552 1 0.066991 .
Ljung-Box ARCH(1) 7.7861 1 0.005265 **
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
SE of regression 0.09079
R-squared 0.99618
Log-lik.(n=418) 440.26698
Energy
Main
Ihs Count Energy
top_main
Formula: ihs_count_energy~ lgdp + lpop
top_main (2000:2019); p.value: 0.01; AR: 1
Date: Mon Apr 29 11:38:35 2024
Dependent var.: y
Method: Ordinary Least Squares (OLS)
Variance-Covariance: Ordinary
No. of observations (mean eq.): 418
Sample: 1 to 418
SPECIFIC mean equation:
coef std.error t-stat p-value
ar1 0.637222 0.029805 21.3794 < 2.2e-16 ***
lgdp 0.487089 0.098415 4.9494 1.145e-06 ***
lpop -1.116055 0.305739 -3.6504 0.0003005 ***
idAUT -0.288510 0.269753 -1.0695 0.2855446
idBEL -0.197304 0.202552 -0.9741 0.3306630
idCAN 0.735441 0.142793 5.1504 4.284e-07 ***
idCHE -0.644952 0.290342 -2.2213 0.0269470 *
idCHN 3.626245 1.159677 3.1269 0.0019097 **
idDEU 2.141266 0.400168 5.3509 1.558e-07 ***
idDNK -1.633291 0.433946 -3.7638 0.0001953 ***
idESP 0.489072 0.249980 1.9564 0.0511834 .
idFIN -0.819150 0.390296 -2.0988 0.0365297 *
idFRA 1.602656 0.331405 4.8359 1.965e-06 ***
idGBR 1.557298 0.327296 4.7581 2.832e-06 ***
idIND 2.584782 1.119056 2.3098 0.0214635 *
idISR -1.065496 0.309849 -3.4388 0.0006526 ***
idITA 1.227614 0.305717 4.0155 7.217e-05 ***
idJPN 0.465906 0.559697 0.8324 0.4057194
idKOR -1.357675 0.565647 -2.4002 0.0168912 *
idNLD 0.183562 0.105605 1.7382 0.0830282 .
idNOR -2.244270 0.496313 -4.5219 8.324e-06 ***
idRUS -0.041702 0.537366 -0.0776 0.9381862
idSWE -1.454572 0.311102 -4.6755 4.148e-06 ***
idUSA 2.994818 0.746566 4.0115 7.338e-05 ***
time2001 6.898387 4.647003 1.4845 0.1385540
time2002 6.759873 4.647626 1.4545 0.1466825
time2003 6.921664 4.650175 1.4885 0.1374989
time2004 6.933456 4.651566 1.4906 0.1369493
time2005 6.995200 4.653105 1.5033 0.1336256
time2006 7.048759 4.655773 1.5140 0.1309052
time2007 7.193520 4.656901 1.5447 0.1232947
time2008 7.237807 4.658434 1.5537 0.1211323
time2009 7.278722 4.659693 1.5621 0.1191499
time2010 7.278160 4.661423 1.5614 0.1193150
time2011 7.275091 4.662941 1.5602 0.1195903
time2012 7.143820 4.664776 1.5314 0.1265367
time2013 7.074668 4.666771 1.5160 0.1304029
time2014 7.070154 4.669428 1.5141 0.1308661
time2015 7.017155 4.672139 1.5019 0.1339933
time2016 7.118331 4.674535 1.5228 0.1286870
time2017 7.190786 4.676389 1.5377 0.1250031
time2018 7.104312 4.677916 1.5187 0.1297154
time2019 7.029003 4.679716 1.5020 0.1339675
iis41 -0.801495 0.156065 -5.1356 4.609e-07 ***
iis43 -0.590390 0.155225 -3.8034 0.0001675 ***
iis49 -0.498414 0.155362 -3.2081 0.0014557 **
iis57 -0.689808 0.155536 -4.4350 1.224e-05 ***
iis79 -0.534124 0.155334 -3.4386 0.0006531 ***
iis253 0.484439 0.155348 3.1184 0.0019644 **
iis355 -0.475094 0.154379 -3.0775 0.0022473 **
iis363 0.578121 0.158435 3.6490 0.0003021 ***
iis366 0.635391 0.155672 4.0816 5.510e-05 ***
iis376 -0.448693 0.155121 -2.8925 0.0040531 **
fesisCHN.2015 0.305064 0.094713 3.2209 0.0013938 **
fesisDNK.2005 0.342988 0.087085 3.9385 9.840e-05 ***
fesisESP.2003 0.674736 0.117399 5.7474 1.930e-08 ***
fesisESP.2016 -0.260732 0.086383 -3.0183 0.0027223 **
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Diagnostics and fit:
Chi-sq df p-value
Ljung-Box AR(1) 1.2273 1 0.2679
Ljung-Box ARCH(1) 2.3679 1 0.1239
SE of regression 0.14663
R-squared 0.99084
Log-lik.(n=418) 237.86537
Solar
Main
Ihs Count Solar
top_main
Formula: ihs_count_solar~ lgdp + lpop
top_main (2000:2019); p.value: 0.01; AR: 1
Date: Mon Apr 29 11:38:34 2024
Dependent var.: y
Method: Ordinary Least Squares (OLS)
Variance-Covariance: Ordinary
No. of observations (mean eq.): 418
Sample: 1 to 418
SPECIFIC mean equation:
coef std.error t-stat p-value
ar1 0.243041 0.040052 6.0681 3.280e-09 ***
lgdp 1.455680 0.189016 7.7013 1.316e-13 ***
lpop -0.091686 0.653855 -0.1402 0.8885622
idAUT 1.130784 0.559879 2.0197 0.0441556 *
idBEL 0.715607 0.420120 1.7033 0.0893672 .
idCAN -0.904099 0.361520 -2.5008 0.0128341 *
idCHE 0.559439 0.606538 0.9223 0.3569653
idCHN -4.301927 2.566466 -1.6762 0.0945659 .
idDEU 0.141839 0.876669 0.1618 0.8715591
idDNK -2.105360 0.896434 -2.3486 0.0193846 *
idESP -1.425032 0.578596 -2.4629 0.0142487 *
idFIN 0.600639 0.809502 0.7420 0.4585796
idFRA -0.322546 0.745962 -0.4324 0.6657175
idGBR -0.377156 0.736523 -0.5121 0.6089113
idIND -6.580051 2.501161 -2.6308 0.0088844 **
idISR -0.172992 0.643074 -0.2690 0.7880781
idITA -0.475770 0.701787 -0.6779 0.4982449
idJPN -6.823719 1.258018 -5.4242 1.070e-07 ***
idKOR -9.357494 1.191026 -7.8567 4.600e-14 ***
idNLD 0.528864 0.228755 2.3119 0.0213456 *
idNOR -3.019526 1.012606 -2.9819 0.0030593 **
idRUS -7.563267 1.239048 -6.1041 2.676e-09 ***
idSWE -2.865238 0.632681 -4.5287 8.080e-06 ***
idUSA -1.772566 1.646051 -1.0769 0.2822642
time2001 -36.001630 10.143391 -3.5493 0.0004375 ***
time2002 -35.975874 10.146607 -3.5456 0.0004434 ***
time2003 -35.827478 10.147378 -3.5307 0.0004683 ***
time2004 -35.754164 10.149591 -3.5227 0.0004821 ***
time2005 -35.592802 10.151097 -3.5063 0.0005118 ***
time2006 -35.393697 10.153502 -3.4859 0.0005512 ***
time2007 -35.172897 10.156717 -3.4630 0.0005985 ***
time2008 -34.943190 10.158419 -3.4398 0.0006504 ***
time2009 -34.720355 10.159608 -3.4175 0.0007043 ***
time2010 -34.759566 10.162032 -3.4205 0.0006967 ***
time2011 -34.867327 10.165427 -3.4300 0.0006736 ***
time2012 -34.956512 10.171367 -3.4368 0.0006575 ***
time2013 -35.235416 10.176344 -3.4625 0.0005996 ***
time2014 -35.303344 10.182791 -3.4670 0.0005900 ***
time2015 -35.443325 10.188576 -3.4787 0.0005655 ***
time2016 -35.390723 10.194718 -3.4715 0.0005805 ***
time2017 -35.474846 10.198238 -3.4785 0.0005659 ***
time2018 -35.638990 10.203358 -3.4929 0.0005374 ***
time2019 -35.760077 10.208123 -3.5031 0.0005178 ***
iis137 -1.514709 0.315563 -4.8000 2.330e-06 ***
iis145 -1.128964 0.315120 -3.5826 0.0003869 ***
iis168 -1.139541 0.316118 -3.6048 0.0003564 ***
iis230 0.901692 0.323836 2.7844 0.0056459 **
iis306 -1.100073 0.336634 -3.2679 0.0011879 **
iis344 -1.564337 0.316918 -4.9361 1.221e-06 ***
iis363 1.497317 0.325011 4.6070 5.678e-06 ***
iis364 1.407978 0.323179 4.3566 1.725e-05 ***
iis379 0.934193 0.318469 2.9334 0.0035676 **
fesisAUS.2005 -0.793413 0.184196 -4.3074 2.133e-05 ***
fesisCHN.2015 0.632591 0.197936 3.1959 0.0015170 **
fesisESP.2003 1.479038 0.234015 6.3203 7.722e-10 ***
fesisFIN.2012 0.717124 0.147753 4.8535 1.810e-06 ***
fesisKOR.2007 0.663000 0.172081 3.8528 0.0001382 ***
fesisRUS.2019 -0.872480 0.319606 -2.7299 0.0066475 **
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Diagnostics and fit:
Chi-sq df p-value
Ljung-Box AR(1) 0.48981 1 0.4840133
Ljung-Box ARCH(1) 13.55531 1 0.0002316 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
SE of regression 0.29900
R-squared 0.96883
Log-lik.(n=418) -59.45690
Storage
Main
Ihs Count Storage
top_main
Formula: ihs_count_storage~ lgdp + lpop
top_main (2000:2019); p.value: 0.01; AR: 1
Date: Mon Apr 29 11:38:34 2024
Dependent var.: y
Method: Ordinary Least Squares (OLS)
Variance-Covariance: Ordinary
No. of observations (mean eq.): 418
Sample: 1 to 418
SPECIFIC mean equation:
coef std.error t-stat p-value
ar1 0.200591 0.035211 5.6969 2.559e-08 ***
lgdp 1.217085 0.140199 8.6811 < 2.2e-16 ***
lpop -2.592379 0.556871 -4.6553 4.574e-06 ***
idAUT -0.800372 0.505156 -1.5844 0.1139893
idBEL 0.144123 0.417689 0.3450 0.7302606
idCAN 1.934968 0.261422 7.4017 9.784e-13 ***
idCHE -0.661825 0.583535 -1.1342 0.2574890
idCHN 8.722624 2.173221 4.0137 7.291e-05 ***
idDEU 5.174812 0.735422 7.0365 1.018e-11 ***
idDNK -4.332996 0.788637 -5.4943 7.485e-08 ***
idESP 1.184800 0.427602 2.7708 0.0058853 **
idFIN -1.680121 0.744342 -2.2572 0.0246018 *
idFRA 3.972734 0.608633 6.5273 2.308e-10 ***
idGBR 3.681044 0.594843 6.1883 1.673e-09 ***
idIND 5.672322 2.103560 2.6965 0.0073395 **
idISR -2.252347 0.572959 -3.9311 0.0001016 ***
idITA 2.755934 0.556227 4.9547 1.122e-06 ***
idJPN 1.270732 1.008373 1.2602 0.2084296
idKOR -3.110408 0.857311 -3.6281 0.0003273 ***
idNLD 0.564713 0.188510 2.9957 0.0029302 **
idNOR -6.544387 0.915295 -7.1500 4.958e-12 ***
idRUS -0.062148 0.990444 -0.0627 0.9500027
idSWE -3.431258 0.537742 -6.3809 5.484e-10 ***
idUSA 6.961733 1.404520 4.9567 1.111e-06 ***
time2001 11.905663 8.727255 1.3642 0.1733685
time2002 11.506141 8.729919 1.3180 0.1883470
time2003 11.873591 8.734448 1.3594 0.1748810
time2004 11.852777 8.738206 1.3564 0.1758216
time2005 11.993704 8.742684 1.3719 0.1709721
time2006 12.121767 8.745916 1.3860 0.1666170
time2007 12.047428 8.750505 1.3768 0.1694487
time2008 12.124724 8.755684 1.3848 0.1669860
time2009 12.507248 8.759714 1.4278 0.1542218
time2010 12.597179 8.763843 1.4374 0.1514817
time2011 12.675196 8.767371 1.4457 0.1491344
time2012 12.699349 8.771607 1.4478 0.1485589
time2013 12.715679 8.775285 1.4490 0.1482086
time2014 12.635078 8.779191 1.4392 0.1509704
time2015 12.567935 8.782897 1.4310 0.1533202
time2016 12.680069 8.786626 1.4431 0.1498688
time2017 12.824297 8.791152 1.4588 0.1455093
time2018 12.917728 8.794647 1.4688 0.1427655
time2019 12.748685 8.797744 1.4491 0.1481939
iis134 -2.159409 0.288213 -7.4924 5.399e-13 ***
iis158 -1.239141 0.284361 -4.3576 1.722e-05 ***
iis252 -1.110064 0.283650 -3.9135 0.0001090 ***
iis255 1.309509 0.281903 4.6453 4.788e-06 ***
iis348 -1.960903 0.286469 -6.8451 3.357e-11 ***
iis363 1.300614 0.287347 4.5263 8.196e-06 ***
iis366 1.301619 0.284262 4.5789 6.469e-06 ***
fesisAUT.2007 0.668525 0.137505 4.8618 1.748e-06 ***
fesisBEL.2003 -0.710594 0.208431 -3.4093 0.0007261 ***
fesisCHE.2003 -0.698484 0.206710 -3.3791 0.0008079 ***
fesisDNK.2012 -1.267715 0.212840 -5.9562 6.201e-09 ***
fesisDNK.2014 1.266739 0.223676 5.6633 3.064e-08 ***
fesisESP.2005 0.935128 0.160553 5.8244 1.282e-08 ***
fesisFIN.2003 -1.372552 0.275340 -4.9849 9.698e-07 ***
fesisFIN.2005 1.191660 0.207463 5.7440 1.986e-08 ***
fesisNLD.2009 -0.499880 0.131570 -3.7994 0.0001706 ***
fesisNOR.2003 0.852122 0.211452 4.0299 6.827e-05 ***
fesisNOR.2017 0.775031 0.178751 4.3358 1.893e-05 ***
fesisRUS.2017 -0.986094 0.181537 -5.4319 1.035e-07 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Diagnostics and fit:
Chi-sq df p-value
Ljung-Box AR(1) 0.35865 1 0.5493
Ljung-Box ARCH(1) 0.49597 1 0.4813
SE of regression 0.26704
R-squared 0.98205
Log-lik.(n=418) -10.20929
Wind
Main
Ihs Count Wind
top_main
Formula: ihs_count_wind~ lgdp + lpop
top_main (2000:2019); p.value: 0.01; AR: 1
Date: Mon Apr 29 11:38:35 2024
Dependent var.: y
Method: Ordinary Least Squares (OLS)
Variance-Covariance: Ordinary
No. of observations (mean eq.): 418
Sample: 1 to 418
SPECIFIC mean equation:
coef std.error t-stat p-value
ar1 0.260595 0.043197 6.0327 3.985e-09 ***
lgdp 1.008588 0.273858 3.6829 0.0002658 ***
lpop -4.600488 0.937632 -4.9065 1.404e-06 ***
idAUT -0.421565 0.956616 -0.4407 0.6597046
idBEL -0.838958 0.710864 -1.1802 0.2386978
idCAN 3.547344 0.637201 5.5671 5.054e-08 ***
idCHE -2.912222 0.944778 -3.0824 0.0022105 **
idCHN 17.791557 3.733356 4.7656 2.732e-06 ***
idDEU 8.942045 1.349204 6.6276 1.240e-10 ***
idDNK -3.979960 1.315878 -3.0246 0.0026677 **
idESP 5.970485 0.912662 6.5418 2.076e-10 ***
idFIN -3.986367 1.239461 -3.2162 0.0014159 **
idFRA 6.530444 1.141343 5.7217 2.213e-08 ***
idGBR 7.178668 1.137206 6.3126 8.033e-10 ***
idIND 14.998667 3.545262 4.2306 2.956e-05 ***
idISR -3.635557 0.994008 -3.6575 0.0002925 ***
idITA 6.048539 1.075942 5.6216 3.784e-08 ***
idJPN 5.116990 1.879251 2.7229 0.0067847 **
idKOR -0.957949 1.771106 -0.5409 0.5889257
idNLD 1.366856 0.496099 2.7552 0.0061619 **
idNOR -6.345774 1.492717 -4.2512 2.710e-05 ***
idRUS 6.258324 1.822333 3.4342 0.0006631 ***
idSWE -3.742793 0.971787 -3.8515 0.0001388 ***
idUSA 13.088710 2.423568 5.4006 1.205e-07 ***
time2001 49.274128 14.523960 3.3926 0.0007688 ***
time2002 49.624430 14.530973 3.4151 0.0007099 ***
time2003 49.519081 14.542088 3.4052 0.0007352 ***
time2004 49.645324 14.545957 3.4130 0.0007152 ***
time2005 49.965459 14.550991 3.4338 0.0006641 ***
time2006 50.223076 14.559811 3.4494 0.0006280 ***
time2007 50.450826 14.568034 3.4631 0.0005979 ***
time2008 50.676700 14.573479 3.4773 0.0005681 ***
time2009 50.880420 14.580964 3.4895 0.0005436 ***
time2010 50.862923 14.588714 3.4865 0.0005496 ***
time2011 50.889570 14.594691 3.4869 0.0005488 ***
time2012 50.788132 14.600841 3.4784 0.0005658 ***
time2013 50.557106 14.606559 3.4613 0.0006019 ***
time2014 50.550153 14.611778 3.4595 0.0006056 ***
time2015 50.297093 14.617747 3.4408 0.0006477 ***
time2016 50.463163 14.622995 3.4509 0.0006246 ***
time2017 50.637598 14.629554 3.4613 0.0006018 ***
time2018 50.453887 14.636108 3.4472 0.0006330 ***
time2019 50.328823 14.640498 3.4376 0.0006551 ***
iis21 -2.014089 0.444575 -4.5304 8.007e-06 ***
iis44 -2.332886 0.437821 -5.3284 1.746e-07 ***
iis175 1.598151 0.440615 3.6271 0.0003278 ***
iis250 -1.676337 0.447288 -3.7478 0.0002076 ***
iis381 1.728678 0.442705 3.9048 0.0001125 ***
fesisAUS.2002 1.953592 0.494267 3.9525 9.301e-05 ***
fesisAUS.2005 -1.018182 0.279547 -3.6423 0.0003097 ***
fesisAUT.2002 -1.356230 0.441867 -3.0693 0.0023073 **
fesisCHN.2002 -1.780001 0.524227 -3.3955 0.0007611 ***
fesisCHN.2004 1.936662 0.371381 5.2148 3.103e-07 ***
fesisDNK.2006 0.758056 0.227493 3.3322 0.0009504 ***
fesisIND.2008 1.241279 0.237207 5.2329 2.832e-07 ***
fesisRUS.2004 -0.837219 0.292092 -2.8663 0.0043959 **
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Diagnostics and fit:
Chi-sq df p-value
Ljung-Box AR(1) 0.14593 1 0.70246
Ljung-Box ARCH(1) 3.81299 1 0.05086 .
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
SE of regression 0.41612
R-squared 0.93026
Log-lik.(n=418) -198.61878
Policy matching
OECD policy data filtered for Electricity, Cross-sectoral,
International modules.
Ccmt
Energy
Solar
Wind
Storage
Country, sign and year comparison of breaks
Old breaks (-singapore and taiwan)
IHS
|
country
|
ccmt
|
energy
|
solar
|
wind
|
storage
|
|
Australia
|
-2005
|
|
+2005
|
+2002, -2005
|
|
|
China
|
+2015
|
+2015
|
|
-2002, +2004
|
|
|
Denmark
|
+2005, -2006, +2007
|
+2005
|
|
+2006
|
-2012, +2014
|
|
Israel
|
+2006, -2009, -2018
|
+2006, -2009
|
|
|
|
|
Spain
|
|
+2003
|
+2003
|
|
+2005
|
|
Russia
|
|
-2007
|
-2019
|
-2004
|
-2017
|
|
Brasil
|
|
|
+2014
|
|
+2008, -2010, +2014
|
|
Finland
|
|
|
+2012
|
|
-2002, +2005
|
|
South Korea
|
|
|
+2007
|
|
|
|
Austria
|
|
|
|
-2002
|
+2007
|
|
India
|
|
|
|
+2008
|
|
|
Norway
|
|
|
|
|
+2003, +2017
|
|
Belgium
|
|
|
|
|
-2003
|
Count
|
country
|
ccmt
|
energy
|
solar
|
wind
|
storage
|
|
China
|
+2013
|
+2013
|
+2015, -2019
|
|
|
|
Germany
|
|
+2007, -2012
|
-2012
|
+2006
|
|
|
Japan
|
-2008, +2009
|
+2009
|
-2012
|
|
-2008, +2009, +2017
|
|
South Korea
|
+2009
|
-2014
|
+2007
|
|
-2006, +2009
|
|
USA
|
+2006, -2014
|
+2006, -2014
|
+2006, -2011
|
|
|
|
Denmark
|
|
|
|
+2007, -2012, +2014
|
|
Shares
|
country
|
ccmt
|
energy
|
solar
|
wind
|
storage
|
|
Denmark
|
+2007, -2012
|
-2011
|
|
+2008, +2010, -2011
|
|
|
Norway
|
-2013, +2015
|
+2019
|
|
+2019
|
+2017
|
|
Russia
|
-2015
|
|
|
|
|
|
Brasil
|
|
+2014, -2016, +2018
|
+2012
|
|
-2010
|
|
Spain
|
|
|
+2012, -2018
|
|
|
|
Austria
|
|
|
|
|
+2016
|
|
Germany
|
|
|
|
|
+2009
|
|
Japan
|
|
|
|
|
+2009
|
|
South Korea
|
|
|
|
|
+2009
|